-----------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  c:\expats\LINES\lines16\Tab1-3.log
  log type:  text
 opened on:  10 Apr 2021, 18:18:52

. use c:\expats\lines\lines16\pii-imp.dta;

. * Amelia II used to impute missing data values, m=100, random number seed=902;
. * See Supplemental Table 8 for question wordings;
. * the key independent variables are loser2 (2=strong preference for unsuccessful candidate, 1
> =weak preference for an unsuccessful candidate, 0=did not prefer and unsuccessful candidate) 
> and demidord2 (3=strong Democratic identifier, 2=weak Democratic ID, 1=lean Dem ID, 0=do not 
> identify as a Democrat);
. mi import flong, m(imp) id(ID_W1_W2_W3) imp(demidord2 loser2 
> immrally3 rally1 partic1 partic3 
> trustwash1 trustwash3 nosay1 nosay3 publicoffnocare1 publicoffnocare3
> trustamer1 trustamer3 return1 return3
> religpool timeus agepool schoolpool famincpool spanhome 
> marriedpool ownhome 
> female weight civicstatus freshw2 freshw3 mex
> hometownassoc difstatelaw_2017);
(2349 m=0 obs. now marked as incomplete)

. ** here is the replication .do file for Tables 1-3;
. mi estimate: reg trustwash3 trustwash1 loser2  i.civicstatus time age span school faminc fema
> le ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.2018
                                                Largest FMI       =     0.6685
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     177.27
                                                        avg       =     273.22
                                                        max       =     352.76
Model F test:       Equal FMI                   F(  14, 1647.5)   =       2.69
Within VCE type:       Robust                   Prob > F          =     0.0006

----------------------------------------------------------------------------------
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .1432299   .0450365     3.18   0.002     .0543533    .2321065
          loser2 |  -.0991212   .0430807    -2.30   0.022    -.1840222   -.0142202
                 |
     civicstatus |
              1  |   .1374983   .0978597     1.41   0.161    -.0551741    .3301707
              2  |   .0345947   .0989284     0.35   0.727    -.1601686    .2293581
                 |
          timeus |   .0004445   .0034455     0.13   0.897     -.006338     .007227
         agepool |   .0039192   .0033681     1.16   0.246    -.0027156     .010554
        spanhome |  -.0354085    .037642    -0.94   0.348    -.1094623    .0386452
      schoolpool |  -.0020995   .0097082    -0.22   0.829    -.0212088    .0170099
      famincpool |  -.0171851   .0323989    -0.53   0.596    -.0810554    .0466852
          female |    -.15244   .0706904    -2.16   0.032     -.291621    -.013259
         ownhome |   -.029545   .0715092    -0.41   0.680    -.1701926    .1111027
       religpool |   .0314399   .0232646     1.35   0.178    -.0143426    .0772224
             mex |  -.0626752   .0822014    -0.76   0.446    -.2244781    .0991277
difstatelaw_2017 |   -.014364   .0122328    -1.17   0.241    -.0384224    .0096944
           _cons |    2.10579   .2998945     7.02   0.000     1.515405    2.696174
----------------------------------------------------------------------------------

. mi estimate: reg nosay3 nosay1 loser2   i.civicstatus time age span school faminc female ownh
> ome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.1557
                                                Largest FMI       =     0.6819
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     170.29
                                                        avg       =     304.90
                                                        max       =     385.43
Model F test:       Equal FMI                   F(  14, 1668.4)   =       2.92
Within VCE type:       Robust                   Prob > F          =     0.0002

----------------------------------------------------------------------------------
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |   .1868848   .0488046     3.83   0.000     .0905448    .2832247
          loser2 |   .1347075   .0799612     1.68   0.094    -.0230793    .2924943
                 |
     civicstatus |
              1  |   .1825846   .1509287     1.21   0.227    -.1142682    .4794373
              2  |  -.0373372   .1534439    -0.24   0.808    -.3391384    .2644641
                 |
          timeus |   .0038003    .005868     0.65   0.518    -.0077575     .015358
         agepool |  -.0021653   .0053483    -0.40   0.686    -.0126927     .008362
        spanhome |   .0147299   .0624147     0.24   0.814    -.1079873    .1374472
      schoolpool |   .0066014   .0160797     0.41   0.682     -.025021    .0382238
      famincpool |  -.1026853   .0512232    -2.00   0.046    -.2035653   -.0018053
          female |   .0454156   .1106507     0.41   0.682    -.1721871    .2630183
         ownhome |   .0225372   .1236596     0.18   0.856    -.2208268    .2659013
       religpool |  -.0065782     .03876    -0.17   0.865    -.0827857    .0696293
             mex |   .0254621   .1374453     0.19   0.853    -.2450702    .2959945
difstatelaw_2017 |   -.008161   .0203664    -0.40   0.689    -.0482209    .0318988
           _cons |   2.678527    .519847     5.15   0.000     1.655983    3.701071
----------------------------------------------------------------------------------

. mi estimate: reg publicoffnocare3 publicoffnocare1   loser2 i.civicstatus time age span schoo
> l faminc female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.2470
                                                Largest FMI       =     0.7310
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     147.24
                                                        avg       =     277.47
                                                        max       =     390.81
Model F test:       Equal FMI                   F(  14, 1627.4)   =       1.42
Within VCE type:       Robust                   Prob > F          =     0.1335

----------------------------------------------------------------------------------
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .1346541   .0483349     2.79   0.006     .0392442    .2300639
          loser2 |   .0881112    .082222     1.07   0.286    -.0743765    .2505989
                 |
     civicstatus |
              1  |  -.0747395   .1406806    -0.53   0.596    -.3514565    .2019774
              2  |  -.0870681   .1481152    -0.59   0.557    -.3786144    .2044781
                 |
          timeus |   .0021028   .0059038     0.36   0.722    -.0095348    .0137404
         agepool |  -.0034642   .0051649    -0.67   0.503    -.0136375    .0067091
        spanhome |   .0340657   .0599531     0.57   0.570    -.0838482    .1519797
      schoolpool |   .0244123   .0152693     1.60   0.111    -.0056358    .0544603
      famincpool |  -.0157163   .0479257    -0.33   0.743    -.1101021    .0786694
          female |   .0406168   .1108168     0.37   0.714    -.1775672    .2588008
         ownhome |   .0794378   .1138716     0.70   0.486    -.1446118    .3034873
       religpool |  -.0362506   .0349952    -1.04   0.301     -.105053    .0325518
             mex |   .0936157   .1193058     0.78   0.433    -.1409586    .3281901
difstatelaw_2017 |  -.0139483   .0200062    -0.70   0.486    -.0533305     .025434
           _cons |   2.894305   .5290366     5.47   0.000     1.851844    3.936767
----------------------------------------------------------------------------------

. mi estimate: reg trustamer3 trustamer1 loser2  i.civicstatus time age span school faminc fema
> le ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.2615
                                                Largest FMI       =     0.6798
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     171.34
                                                        avg       =     260.58
                                                        max       =     331.84
Model F test:       Equal FMI                   F(  14, 1615.8)   =       4.62
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .2165297   .0456815     4.74   0.000     .1264387    .3066207
          loser2 |   .0124051   .0648731     0.19   0.849    -.1156484    .1404586
                 |
     civicstatus |
              1  |   .1277894   .1334399     0.96   0.339    -.1351288    .3907076
              2  |   .1232628    .135562     0.91   0.364    -.1438283    .3903539
                 |
          timeus |  -.0025824   .0044039    -0.59   0.558    -.0112503    .0060855
         agepool |   .0026913   .0042396     0.63   0.526    -.0056547    .0110374
        spanhome |  -.0977856   .0508381    -1.92   0.056    -.1978894    .0023181
      schoolpool |   .0470354   .0135777     3.46   0.001     .0203024    .0737684
      famincpool |   -.017606   .0418131    -0.42   0.674    -.1000062    .0647942
          female |  -.1661778   .0880064    -1.89   0.060    -.3392986     .006943
         ownhome |   .0358817   .0978309     0.37   0.714    -.1567213    .2284846
       religpool |  -.0032188   .0326187    -0.10   0.921    -.0674102    .0609726
             mex |   .1124588   .1012345     1.11   0.268     -.086762    .3116797
difstatelaw_2017 |  -.0173697   .0175453    -0.99   0.323    -.0519052    .0171659
           _cons |   2.240247   .4043615     5.54   0.000     1.444259    3.036234
----------------------------------------------------------------------------------

. mi estimate: ologit return3 return1 loser2   i.civicstatus time age span school faminc female
>  ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     1.1537
                                                Largest FMI       =     0.7560
DF adjustment:   Large sample                   DF:     min       =     174.52
                                                        avg       =     464.95
                                                        max       =     650.94
Model F test:       Equal FMI                   F(  14, 4882.0)   =       7.18
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         return3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.044079   .1661298     6.28   0.000     .7161969    1.371961
          loser2 |  -.0694662   .1368959    -0.51   0.612     -.339405    .2004727
                 |
     civicstatus |
              1  |   -.271998   .2378568    -1.14   0.253    -.7394636    .1954676
              2  |  -.2981724   .2352201    -1.27   0.206    -.7604663    .1641214
                 |
          timeus |  -.0137441   .0093042    -1.48   0.140    -.0320357    .0045475
         agepool |  -.0111371    .008465    -1.32   0.189    -.0277809    .0055067
        spanhome |   .0806588   .1023779     0.79   0.431     -.120372    .2816896
      schoolpool |  -.0052069   .0256448    -0.20   0.839    -.0555768    .0451629
      famincpool |  -.0401446   .0770914    -0.52   0.603    -.1916837    .1113945
          female |  -.4520199   .1783993    -2.53   0.012    -.8026546   -.1013851
         ownhome |   .1538578   .1890169     0.81   0.416     -.217323    .5250387
       religpool |  -.0375457   .0622874    -0.60   0.547    -.1598845     .084793
             mex |   .0031801   .2067672     0.02   0.988    -.4030544    .4094145
difstatelaw_2017 |  -.0129171   .0324305    -0.40   0.691    -.0766319    .0507977
-----------------+----------------------------------------------------------------
           /cut1 |   1.015104   .7874189                      -.531495    2.561703
           /cut2 |   2.107297   .8074214                      .5212817    3.693312
----------------------------------------------------------------------------------

. mi estimate: logit immrally3 rally1 loser2   i.civicstatus time age span school faminc female
>  ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Logistic regression                             Number of obs     =      2,560
                                                Average RVI       =     0.8947
                                                Largest FMI       =     0.6610
DF adjustment:   Large sample                   DF:     min       =     228.65
                                                        avg       =     506.45
                                                        max       =     828.34
Model F test:       Equal FMI                   F(  14, 6349.2)   =       2.06
Within VCE type:       Robust                   Prob > F          =     0.0109

----------------------------------------------------------------------------------
       immrally3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .4345891   .3203315     1.36   0.176    -.1953733    1.064552
          loser2 |    .251142   .1468474     1.71   0.089    -.0382051    .5404892
                 |
     civicstatus |
              1  |  -.4257478   .2792348    -1.52   0.128    -.9745086    .1230131
              2  |  -.4701324   .2523383    -1.86   0.063    -.9657392    .0254745
                 |
          timeus |   .0175561   .0110626     1.59   0.113     -.004192    .0393041
         agepool |  -.0311804   .0109822    -2.84   0.005    -.0527728    -.009588
        spanhome |   -.018803   .1124359    -0.17   0.867    -.2397282    .2021223
      schoolpool |   .0096845   .0281336     0.34   0.731    -.0455404    .0649093
      famincpool |   .0447406   .0831486     0.54   0.591    -.1186581    .2081392
          female |  -.1332244   .1922946    -0.69   0.489    -.5109118     .244463
         ownhome |  -.0490711   .2185882    -0.22   0.822     -.478123    .3799808
       religpool |  -.0135116   .0687975    -0.20   0.844    -.1486402     .121617
             mex |   .1139012   .2393709     0.48   0.634     -.356359    .5841613
difstatelaw_2017 |    .024895   .0388763     0.64   0.522    -.0514912    .1012811
           _cons |  -.4799036   .8399269    -0.57   0.568    -2.130284    1.170477
----------------------------------------------------------------------------------

. mi estimate: ologit partic3 partic1 loser2  i.civicstatus time age span school faminc female 
> ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     1.0534
                                                Largest FMI       =     0.6793
DF adjustment:   Large sample                   DF:     min       =     216.43
                                                        avg       =     387.49
                                                        max       =     513.44
Model F test:       Equal FMI                   F(  14, 5108.1)   =       8.36
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         partic3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |   .8576403   .1225256     7.00   0.000     .6162535    1.099027
          loser2 |  -.1050948   .1178912    -0.89   0.374    -.3374566    .1272671
                 |
     civicstatus |
              1  |  -.2102298   .2246104    -0.94   0.350    -.6517155    .2312559
              2  |  -.2235956    .235782    -0.95   0.344     -.687209    .2400179
                 |
          timeus |   .0179903   .0083797     2.15   0.032     .0015165    .0344642
         agepool |  -.0184274    .008523    -2.16   0.031    -.0351979    -.001657
        spanhome |   .0489908    .091618     0.53   0.593    -.1311335    .2291152
      schoolpool |   .0464256   .0242267     1.92   0.056     -.001201    .0940522
      famincpool |   .1273464   .0657118     1.94   0.053    -.0018218    .2565145
          female |   .0326532   .1585634     0.21   0.837    -.2788978    .3442041
         ownhome |    .021051   .1769621     0.12   0.905    -.3267557    .3688577
       religpool |   .0905825   .0576534     1.57   0.117    -.0227039     .203869
             mex |   .1408493   .1822164     0.77   0.440    -.2171321    .4988306
difstatelaw_2017 |   .0466362   .0337336     1.38   0.168    -.0196838    .1129562
-----------------+----------------------------------------------------------------
           /cut1 |   1.581419   .7000303                      .2049617    2.957876
           /cut2 |   2.979561   .7125536                      1.578379    4.380742
           /cut3 |   4.506622   .7237185                      3.083391    5.929853
----------------------------------------------------------------------------------

. ** predictor: thwarted partisan (3= strong Dem, 2=weak Dem, 1=lean Dem, 0=not Dem;
. mi estimate: reg trustwash3 trustwash1 demidord2 i.civicstatus time age span school faminc fe
> male ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.2080
                                                Largest FMI       =     0.6679
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     177.58
                                                        avg       =     271.45
                                                        max       =     349.09
Model F test:       Equal FMI                   F(  14, 1643.8)   =       2.39
Within VCE type:       Robust                   Prob > F          =     0.0027

----------------------------------------------------------------------------------
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |     .13788   .0449527     3.07   0.002     .0491697    .2265903
       demidord2 |  -.0469122   .0322975    -1.45   0.148    -.1105942    .0167698
                 |
     civicstatus |
              1  |   .1474066   .0977996     1.51   0.133    -.0451434    .3399566
              2  |   .0390344   .1003492     0.39   0.698    -.1585546    .2366234
                 |
          timeus |   .0003632   .0034101     0.11   0.915    -.0063484    .0070748
         agepool |   .0041067   .0033683     1.22   0.224     -.002528    .0107414
        spanhome |  -.0399905   .0379874    -1.05   0.293    -.1147309    .0347499
      schoolpool |  -.0002417   .0097334    -0.02   0.980    -.0194014    .0189179
      famincpool |  -.0180167   .0325032    -0.55   0.580    -.0820951    .0460617
          female |  -.1552521   .0710612    -2.18   0.030    -.2951706   -.0153337
         ownhome |  -.0305346   .0712704    -0.43   0.669     -.170708    .1096387
       religpool |   .0301099   .0234771     1.28   0.201    -.0160953    .0763151
             mex |  -.0657363   .0816713    -0.80   0.422    -.2264737    .0950012
difstatelaw_2017 |  -.0137728   .0123242    -1.12   0.265    -.0380122    .0104666
           _cons |   2.082766   .2991306     6.96   0.000     1.493873    2.671659
----------------------------------------------------------------------------------

. mi estimate: reg nosay3 nosay1 demidord2    i.civicstatus time age span school faminc female 
> ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.1838
                                                Largest FMI       =     0.7094
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     156.97
                                                        avg       =     301.05
                                                        max       =     385.88
Model F test:       Equal FMI                   F(  14, 1652.9)   =       2.66
Within VCE type:       Robust                   Prob > F          =     0.0007

----------------------------------------------------------------------------------
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |    .183692   .0491156     3.74   0.000     .0867345    .2806496
       demidord2 |   .0635348   .0627521     1.01   0.313    -.0604126    .1874823
                 |
     civicstatus |
              1  |   .1681177   .1508362     1.11   0.266    -.1285429    .4647783
              2  |   -.044166   .1542271    -0.29   0.775    -.3475115    .2591795
                 |
          timeus |   .0038869    .005889     0.66   0.510    -.0077126    .0154864
         agepool |   -.002375    .005406    -0.44   0.661     -.013017     .008267
        spanhome |   .0212664   .0624193     0.34   0.734    -.1014655    .1439983
      schoolpool |   .0039844   .0159388     0.25   0.803    -.0273568    .0353255
      famincpool |  -.1020572   .0513982    -1.99   0.048    -.2032818   -.0008326
          female |   .0490821    .110123     0.45   0.656    -.1674559    .2656201
         ownhome |   .0230931   .1239697     0.19   0.852    -.2208999    .2670861
       religpool |  -.0047557   .0388083    -0.12   0.903    -.0810578    .0715465
             mex |   .0290198   .1390038     0.21   0.835    -.2446122    .3026518
difstatelaw_2017 |  -.0091268   .0208228    -0.44   0.661    -.0500956    .0318419
           _cons |   2.741505   .5209187     5.26   0.000     1.716709    3.766301
----------------------------------------------------------------------------------

. mi estimate: reg publicoffnocare3 publicoffnocare1   demidord2  i.civicstatus time age span s
> chool faminc female ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.3044
                                                Largest FMI       =     0.7641
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     133.51
                                                        avg       =     269.52
                                                        max       =     370.08
Model F test:       Equal FMI                   F(  14, 1600.7)   =       1.87
Within VCE type:       Robust                   Prob > F          =     0.0255

----------------------------------------------------------------------------------
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .1311169   .0478018     2.74   0.007     .0367623    .2254714
       demidord2 |   .1312753    .062877     2.09   0.039     .0069114    .2556391
                 |
     civicstatus |
              1  |  -.0951108   .1412165    -0.67   0.501    -.3729152    .1826936
              2  |  -.1068655   .1495581    -0.71   0.476    -.4013014    .1875703
                 |
          timeus |   .0024756   .0058444     0.42   0.672    -.0090443    .0139954
         agepool |  -.0041484   .0051856    -0.80   0.425    -.0143643    .0060676
        spanhome |   .0377576   .0594454     0.64   0.526    -.0791584    .1546736
      schoolpool |   .0204255   .0151134     1.35   0.178    -.0093143    .0501653
      famincpool |  -.0154533   .0479305    -0.32   0.747     -.109858    .0789514
          female |   .0394649   .1099975     0.36   0.720    -.1770955    .2560252
         ownhome |    .070077   .1137645     0.62   0.538    -.1537831    .2939371
       religpool |  -.0332418   .0352389    -0.94   0.346    -.1025353    .0360517
             mex |   .0848207   .1211073     0.70   0.484    -.1533666    .3230081
difstatelaw_2017 |  -.0200457   .0201806    -0.99   0.321     -.059778    .0196866
           _cons |   2.893318   .5254712     5.51   0.000     1.857691    3.928945
----------------------------------------------------------------------------------

. mi estimate: reg trustamer3 trustamer1 demidord2  i.civicstatus time age span school faminc f
> emale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Linear regression                               Number of obs     =      2,560
                                                Average RVI       =     1.3465
                                                Largest FMI       =     0.7648
                                                Complete DF       =       2545
DF adjustment:   Small sample                   DF:     min       =     133.24
                                                        avg       =     256.31
                                                        max       =     327.24
Model F test:       Equal FMI                   F(  14, 1579.2)   =       4.48
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .2154178   .0460198     4.68   0.000     .1246506     .306185
       demidord2 |   .0249541   .0546569     0.46   0.649    -.0831533    .1330615
                 |
     civicstatus |
              1  |   .1237149   .1332206     0.93   0.354    -.1387689    .3861986
              2  |   .1189365   .1366465     0.87   0.385    -.1503149    .3881878
                 |
          timeus |  -.0025016   .0043973    -0.57   0.570    -.0111562     .006153
         agepool |   .0025813   .0042811     0.60   0.547    -.0058474    .0110101
        spanhome |  -.0971874   .0507282    -1.92   0.056    -.1970674    .0026927
      schoolpool |   .0463972   .0135213     3.43   0.001     .0197758    .0730185
      famincpool |  -.0175439    .041839    -0.42   0.675    -.0999977      .06491
          female |  -.1674204   .0883656    -1.89   0.059    -.3412566    .0064159
         ownhome |   .0338278   .0982538     0.34   0.731    -.1596196    .2272751
       religpool |  -.0025603    .032694    -0.08   0.938    -.0669026    .0617819
             mex |   .1109271   .1020003     1.09   0.278    -.0898236    .3116779
difstatelaw_2017 |  -.0187166    .017662    -1.06   0.290    -.0534836    .0160503
           _cons |   2.235672   .3983137     5.61   0.000     1.451644    3.019699
----------------------------------------------------------------------------------

. mi estimate: ologit return3 return1 demidord2    i.civicstatus time age span school faminc fe
> male ownhome relig mex difstatelaw_2017 [pweight=weight] ;

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     1.1391
                                                Largest FMI       =     0.7541
DF adjustment:   Large sample                   DF:     min       =     175.37
                                                        avg       =     467.38
                                                        max       =     632.45
Model F test:       Equal FMI                   F(  14, 4943.9)   =       7.22
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         return3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.046823   .1657644     6.32   0.000     .7196731    1.373973
       demidord2 |   .0189187   .0960627     0.20   0.844    -.1704375    .2082749
                 |
     civicstatus |
              1  |  -.2711936   .2358758    -1.15   0.251    -.7347202    .1923331
              2  |  -.3050634   .2350494    -1.30   0.195    -.7670009    .1568741
                 |
          timeus |    -.01355   .0093745    -1.45   0.149     -.031981    .0048811
         agepool |  -.0114521   .0085931    -1.33   0.183    -.0283501     .005446
        spanhome |   .0775756   .1029355     0.75   0.451    -.1245611    .2797123
      schoolpool |  -.0053306    .025732    -0.21   0.836     -.055874    .0452128
      famincpool |  -.0396339    .077195    -0.51   0.608    -.1913787    .1121108
          female |  -.4540589    .179381    -2.53   0.012    -.8066389   -.1014789
         ownhome |   .1468963     .18947     0.78   0.438    -.2251949    .5189875
       religpool |  -.0373392   .0617808    -0.60   0.546    -.1586692    .0839908
             mex |  -.0063318   .2062294    -0.03   0.976    -.4114837    .3988201
difstatelaw_2017 |   -.015645   .0323628    -0.48   0.629    -.0792254    .0479355
-----------------+----------------------------------------------------------------
           /cut1 |   1.070746    .777585                     -.4564481     2.59794
           /cut2 |   2.162135   .7971839                      .5963326    3.727937
----------------------------------------------------------------------------------

. mi estimate: logit immrally3 rally1 demidord2   i.civicstatus time age span school faminc fem
> ale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Logistic regression                             Number of obs     =      2,560
                                                Average RVI       =     0.8925
                                                Largest FMI       =     0.6647
DF adjustment:   Large sample                   DF:     min       =     226.06
                                                        avg       =     505.41
                                                        max       =     806.22
Model F test:       Equal FMI                   F(  14, 6355.0)   =       1.90
Within VCE type:       Robust                   Prob > F          =     0.0222

----------------------------------------------------------------------------------
       immrally3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .4248107   .3220935     1.32   0.188    -.2085971    1.058219
       demidord2 |   .1268303   .1064067     1.19   0.235    -.0828456    .3365062
                 |
     civicstatus |
              1  |   -.454244   .2799402    -1.62   0.105    -1.004369    .0958807
              2  |  -.4813911     .25204    -1.91   0.057    -.9763718    .0135895
                 |
          timeus |    .017613   .0110128     1.60   0.111    -.0040365    .0392626
         agepool |  -.0312288   .0108995    -2.87   0.004    -.0526571   -.0098004
        spanhome |    -.00633   .1124291    -0.06   0.955    -.2272329     .214573
      schoolpool |   .0048904   .0282757     0.17   0.863    -.0506137    .0603945
      famincpool |   .0455194   .0829291     0.55   0.583     -.117446    .2084849
          female |  -.1248331   .1926725    -0.65   0.517    -.5032606    .2535944
         ownhome |  -.0444795   .2194405    -0.20   0.839    -.4752216    .3862625
       religpool |  -.0091168   .0692357    -0.13   0.895    -.1451125    .1268788
             mex |   .1198849   .2412176     0.50   0.619    -.3540438    .5938135
difstatelaw_2017 |    .022016   .0395669     0.56   0.578    -.0557286    .0997606
           _cons |  -.4022939   .8328957    -0.48   0.629    -2.038966    1.234378
----------------------------------------------------------------------------------

. mi estimate: ologit partic3 partic1 demidord2   i.civicstatus time age span school faminc fem
> ale ownhome relig mex difstatelaw_2017 [pweight=weight];

Multiple-imputation estimates                   Imputations       =        100
Ordered logistic regression                     Number of obs     =      2,560
                                                Average RVI       =     1.0731
                                                Largest FMI       =     0.6967
DF adjustment:   Large sample                   DF:     min       =     205.67
                                                        avg       =     382.59
                                                        max       =     519.37
Model F test:       Equal FMI                   F(  14, 5010.1)   =       8.24
Within VCE type:       Robust                   Prob > F          =     0.0000

----------------------------------------------------------------------------------
         partic3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |   .8550709   .1240228     6.89   0.000     .6107003    1.099441
       demidord2 |  -.0699705    .087517    -0.80   0.425     -.242516     .102575
                 |
     civicstatus |
              1  |  -.1971441   .2260266    -0.87   0.384    -.6414531    .2471648
              2  |  -.2165111   .2375846    -0.91   0.363    -.6836986    .2506764
                 |
          timeus |   .0179033   .0083495     2.14   0.033     .0014894    .0343173
         agepool |  -.0181254   .0086262    -2.10   0.036    -.0351008   -.0011501
        spanhome |   .0435093   .0921495     0.47   0.637    -.1376724    .2246909
      schoolpool |   .0492229   .0242704     2.03   0.043     .0015071    .0969387
      famincpool |   .1267485   .0658557     1.92   0.055    -.0027069    .2562038
          female |   .0292292   .1601038     0.18   0.855     -.285376    .3438343
         ownhome |    .021066   .1760274     0.12   0.905    -.3248874    .3670195
       religpool |   .0886579   .0578178     1.53   0.126    -.0249562     .202272
             mex |   .1434732   .1824191     0.79   0.432    -.2148968    .5018432
difstatelaw_2017 |    .048637   .0335532     1.45   0.148    -.0173254    .1145993
-----------------+----------------------------------------------------------------
           /cut1 |   1.610147   .6954779                       .242588    2.977707
           /cut2 |   3.007714   .7091049                      1.613244    4.402184
           /cut3 |   4.534401   .7215224                      3.115417    5.953384
----------------------------------------------------------------------------------

. ** results for listwise deletion, for the supplemental files;
. reg trustwash3 trustwash1 loser2  i.civicstatus time age span school faminc female ownhome re
> lig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 203.9946296513081)

Linear regression                               Number of obs     =        224
                                                F(14, 209)        =       3.23
                                                Prob > F          =     0.0001
                                                R-squared         =     0.1772
                                                Root MSE          =      .6889

----------------------------------------------------------------------------------
                 |               Robust
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .2124045   .0839023     2.53   0.012     .0470013    .3778077
          loser2 |  -.1481174   .0681663    -2.17   0.031     -.282499   -.0137357
                 |
     civicstatus |
              1  |   .2253983   .1687855     1.34   0.183     -.107342    .5581385
              2  |  -.0555119   .1208417    -0.46   0.646    -.2937367    .1827129
                 |
          timeus |   .0112108    .006061     1.85   0.066    -.0007377    .0231593
         agepool |   .0015649   .0050463     0.31   0.757    -.0083832     .011513
        spanhome |   .0435878   .0573925     0.76   0.448    -.0695546    .1567302
      schoolpool |   .0189505   .0159711     1.19   0.237    -.0125345    .0504356
      famincpool |  -.0255061   .0330304    -0.77   0.441    -.0906215    .0396094
          female |  -.2084681   .1201563    -1.73   0.084    -.4453418    .0284057
         ownhome |  -.0852916   .1490164    -0.57   0.568    -.3790595    .2084763
       religpool |    -.01094   .0438078    -0.25   0.803    -.0973017    .0754217
             mex |   .0664259   .1201944     0.55   0.581    -.1705229    .3033748
difstatelaw_2017 |  -.0081773   .0165121    -0.50   0.621    -.0407288    .0243742
           _cons |   1.474828   .4741484     3.11   0.002     .5401014    2.409554
----------------------------------------------------------------------------------

. reg nosay3 nosay1 loser2   i.civicstatus time age span school faminc female ownhome relig mex
>  difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 211.0583793222904)

Linear regression                               Number of obs     =        238
                                                F(14, 223)        =       3.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1882
                                                Root MSE          =     1.3896

----------------------------------------------------------------------------------
                 |               Robust
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |   .2952259   .0724859     4.07   0.000     .1523809    .4380709
          loser2 |   .1555807   .1204909     1.29   0.198    -.0818657    .3930271
                 |
     civicstatus |
              1  |  -.2197871   .3060205    -0.72   0.473    -.8228491     .383275
              2  |  -.6214933   .3257482    -1.91   0.058    -1.263432    .0204453
                 |
          timeus |   .0084903   .0113016     0.75   0.453    -.0137813    .0307619
         agepool |   .0011122   .0104829     0.11   0.916     -.019546    .0217705
        spanhome |  -.0673102   .1424933    -0.47   0.637    -.3481158    .2134954
      schoolpool |   .0060621   .0365179     0.17   0.868    -.0659023    .0780264
      famincpool |  -.2274478   .0816705    -2.78   0.006    -.3883925   -.0665031
          female |   -.015402   .2113728    -0.07   0.942    -.4319458    .4011418
         ownhome |   .3020333   .2399517     1.26   0.209    -.1708297    .7748962
       religpool |  -.1388814   .0753634    -1.84   0.067     -.287397    .0096341
             mex |  -.0832486   .2474894    -0.34   0.737    -.5709658    .4044687
difstatelaw_2017 |   .0375367   .0346854     1.08   0.280    -.0308164    .1058898
           _cons |   3.231326   .9749821     3.31   0.001     1.309969    5.152683
----------------------------------------------------------------------------------

. reg publicoffnocare3 publicoffnocare1   loser2 i.civicstatus time age span school faminc fema
> le ownhome relig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 211.4783181548119)

Linear regression                               Number of obs     =        238
                                                F(14, 223)        =       1.40
                                                Prob > F          =     0.1527
                                                R-squared         =     0.0881
                                                Root MSE          =     1.2814

----------------------------------------------------------------------------------
                 |               Robust
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .1579089   .0750744     2.10   0.037     .0099629     .305855
          loser2 |   .0204151    .111284     0.18   0.855    -.1988876    .2397179
                 |
     civicstatus |
              1  |  -.3388382   .2845338    -1.19   0.235    -.8995573    .2218808
              2  |  -.4338988     .28348    -1.53   0.127    -.9925411    .1247435
                 |
          timeus |  -.0034215    .010479    -0.33   0.744    -.0240721    .0172291
         agepool |   .0107783   .0094508     1.14   0.255     -.007846    .0294027
        spanhome |  -.1240962    .104663    -1.19   0.237    -.3303513    .0821589
      schoolpool |   .0518062   .0321765     1.61   0.109    -.0116027    .1152151
      famincpool |  -.1033988    .078648    -1.31   0.190    -.2583872    .0515897
          female |   .0652564   .2007884     0.33   0.745     -.330429    .4609419
         ownhome |   .4107258   .2467505     1.66   0.097    -.0755352    .8969869
       religpool |  -.1560798   .0729148    -2.14   0.033    -.2997699   -.0123896
             mex |   .2768882   .2515281     1.10   0.272     -.218788    .7725643
difstatelaw_2017 |    .030252   .0339642     0.89   0.374    -.0366799    .0971839
           _cons |   3.188552    .763284     4.18   0.000      1.68438    4.692725
----------------------------------------------------------------------------------

. reg trustamer3 trustamer1 loser2  i.civicstatus time age span school faminc female ownhome re
> lig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 210.3958344459534)

Linear regression                               Number of obs     =        236
                                                F(14, 221)        =       7.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3119
                                                Root MSE          =      .8493

----------------------------------------------------------------------------------
                 |               Robust
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .3740483    .072558     5.16   0.000     .2310541    .5170425
          loser2 |   .0914548   .0830035     1.10   0.272    -.0721248    .2550345
                 |
     civicstatus |
              1  |   .2349207   .2105593     1.12   0.266    -.1800404    .6498819
              2  |   .1646591   .2084486     0.79   0.430    -.2461423    .5754604
                 |
          timeus |  -.0131774   .0072637    -1.81   0.071    -.0274924    .0011375
         agepool |   .0157155   .0064477     2.44   0.016     .0030086    .0284223
        spanhome |  -.1785916   .0894245    -2.00   0.047    -.3548255   -.0023576
      schoolpool |   .0442217     .02341     1.89   0.060    -.0019136    .0903571
      famincpool |  -.0495477    .053461    -0.93   0.355    -.1549062    .0558109
          female |    -.30313   .1468537    -2.06   0.040    -.5925428   -.0137172
         ownhome |    .221624   .1647277     1.35   0.180    -.1030143    .5462622
       religpool |  -.0645652   .0456172    -1.42   0.158    -.1544656    .0253351
             mex |  -.0893244   .1689858    -0.53   0.598    -.4223542    .2437054
difstatelaw_2017 |    .006887   .0221052     0.31   0.756    -.0366769    .0504509
           _cons |   1.858785   .6025556     3.08   0.002     .6712947    3.046275
----------------------------------------------------------------------------------

. ologit return3 return1 loser2   i.civicstatus time age span school faminc female ownhome reli
> g mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;

Iteration 0:   log pseudolikelihood = -131.41353  
Iteration 1:   log pseudolikelihood = -98.646971  
Iteration 2:   log pseudolikelihood = -94.579124  
Iteration 3:   log pseudolikelihood =  -94.24885  
Iteration 4:   log pseudolikelihood = -94.248554  
Iteration 5:   log pseudolikelihood = -94.248554  

Ordered logistic regression                     Number of obs     =        245
                                                Wald chi2(14)     =      42.21
                                                Prob > chi2       =     0.0001
Log pseudolikelihood = -94.248554               Pseudo R2         =     0.2828

----------------------------------------------------------------------------------
                 |               Robust
         return3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |   1.682093   .3290846     5.11   0.000     1.037099    2.327087
          loser2 |   .1192921   .3333053     0.36   0.720    -.5339743    .7725585
                 |
     civicstatus |
              1  |   .2879509   .6855523     0.42   0.674    -1.055707    1.631609
              2  |  -.5198207   .6846432    -0.76   0.448    -1.861697    .8220554
                 |
          timeus |  -.0711316   .0268862    -2.65   0.008    -.1238276   -.0184356
         agepool |  -.0068981   .0196618    -0.35   0.726    -.0454345    .0316384
        spanhome |  -.1309022   .3397843    -0.39   0.700    -.7968671    .5350628
      schoolpool |   .0074159   .0737472     0.10   0.920    -.1371259    .1519577
      famincpool |  -.1741032   .1709596    -1.02   0.308    -.5091778    .1609714
          female |  -.8851837   .5493008    -1.61   0.107    -1.961794    .1914261
         ownhome |   .2398836   .6296614     0.38   0.703    -.9942301    1.473997
       religpool |  -.0140834   .1822475    -0.08   0.938    -.3712819    .3431151
             mex |   .0068148   .5643489     0.01   0.990    -1.099289    1.112918
difstatelaw_2017 |   .0203135   .1118377     0.18   0.856    -.1988844    .2395114
-----------------+----------------------------------------------------------------
           /cut1 |   .6579759   2.420494                     -4.086106    5.402057
           /cut2 |   .8807905   2.427114                     -3.876265    5.637846
----------------------------------------------------------------------------------

. logit immrally3 rally1 loser2   i.civicstatus time age span school faminc female ownhome reli
> g mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;

Iteration 0:   log pseudolikelihood =   -108.029  
Iteration 1:   log pseudolikelihood = -83.058943  
Iteration 2:   log pseudolikelihood = -79.111735  
Iteration 3:   log pseudolikelihood = -79.050114  
Iteration 4:   log pseudolikelihood = -79.050061  
Iteration 5:   log pseudolikelihood = -79.050061  

Logistic regression                             Number of obs     =        244
                                                Wald chi2(14)     =      29.66
                                                Prob > chi2       =     0.0085
Log pseudolikelihood = -79.050061               Pseudo R2         =     0.2683

----------------------------------------------------------------------------------
                 |               Robust
       immrally3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |   .2637781   .7112586     0.37   0.711    -1.130263    1.657819
          loser2 |     .45818   .3210993     1.43   0.154    -.1711631    1.087523
                 |
     civicstatus |
              1  |  -.0000978   .7483525    -0.00   1.000    -1.466842    1.466646
              2  |  -.2301005   .6591623    -0.35   0.727    -1.522035    1.061834
                 |
          timeus |   .0014551   .0356151     0.04   0.967    -.0683492    .0712593
         agepool |  -.0539743   .0319628    -1.69   0.091    -.1166203    .0086717
        spanhome |  -.0619041   .2879669    -0.21   0.830    -.6263088    .5025006
      schoolpool |    .188137   .0741562     2.54   0.011     .0427934    .3334806
      famincpool |  -.2399908   .1944174    -1.23   0.217     -.621042    .1410604
          female |  -.0596168   .5373139    -0.11   0.912    -1.112733    .9934992
         ownhome |   .0131473    .673338     0.02   0.984    -1.306571    1.332866
       religpool |   .2978382   .2045092     1.46   0.145    -.1029925    .6986689
             mex |   1.621195   .8487884     1.91   0.056    -.0423998     3.28479
difstatelaw_2017 |   .1449137   .0938897     1.54   0.123    -.0391068    .3289341
           _cons |  -3.310421   1.876492    -1.76   0.078    -6.988278    .3674357
----------------------------------------------------------------------------------

. ologit partic3 partic1 loser2  i.civicstatus time age span school faminc female ownhome relig
>  mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;

Iteration 0:   log pseudolikelihood = -227.22295  
Iteration 1:   log pseudolikelihood =  -173.8642  
Iteration 2:   log pseudolikelihood = -165.14002  
Iteration 3:   log pseudolikelihood = -164.65919  
Iteration 4:   log pseudolikelihood = -164.65763  
Iteration 5:   log pseudolikelihood = -164.65763  

Ordered logistic regression                     Number of obs     =        243
                                                Wald chi2(14)     =     117.21
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -164.65763               Pseudo R2         =     0.2753

----------------------------------------------------------------------------------
                 |               Robust
         partic3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |     1.3126   .3067364     4.28   0.000     .7114082    1.913793
          loser2 |  -.0691753   .1854428    -0.37   0.709    -.4326365     .294286
                 |
     civicstatus |
              1  |  -.5632946   .5318031    -1.06   0.290     -1.60561    .4790204
              2  |  -.6389187   .7103219    -0.90   0.368    -2.031124    .7532865
                 |
          timeus |   .0076441    .020403     0.37   0.708    -.0323449    .0476332
         agepool |    .001817   .0207339     0.09   0.930    -.0388208    .0424548
        spanhome |  -.2357195   .2324498    -1.01   0.311    -.6913127    .2198738
      schoolpool |   .2208275   .0742012     2.98   0.003     .0753958    .3662591
      famincpool |   .1174242   .1260411     0.93   0.352    -.1296118    .3644602
          female |   .2988061   .3527366     0.85   0.397    -.3925448    .9901571
         ownhome |   .0211308   .4690283     0.05   0.964    -.8981479    .9404094
       religpool |   .1133205   .1562968     0.73   0.468    -.1930155    .4196565
             mex |   .5701044   .4510298     1.26   0.206    -.3138977    1.454107
difstatelaw_2017 |   .2106607    .102121     2.06   0.039     .0105073    .4108142
-----------------+----------------------------------------------------------------
           /cut1 |   3.952109   1.664434                      .6898792    7.214339
           /cut2 |    5.73092   1.664316                       2.46892     8.99292
           /cut3 |   7.212227   1.758259                      3.766102    10.65835
----------------------------------------------------------------------------------

. ** predictor: thwarted partisan (3= strong Dem, 2=weak Dem, 1=lean Dem, 0=not Dem;
. reg trustwash3 trustwash1 demidord2 i.civicstatus time age span school faminc female ownhome 
> relig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 195.2091428041458)

Linear regression                               Number of obs     =        221
                                                F(14, 206)        =       2.62
                                                Prob > F          =     0.0016
                                                R-squared         =     0.1465
                                                Root MSE          =     .71372

----------------------------------------------------------------------------------
                 |               Robust
      trustwash3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustwash1 |   .1949651   .0886093     2.20   0.029     .0202677    .3696624
       demidord2 |  -.0484234    .047728    -1.01   0.312    -.1425213    .0456745
                 |
     civicstatus |
              1  |   .2093291   .1800234     1.16   0.246    -.1455955    .5642536
              2  |  -.0792496   .1361946    -0.58   0.561    -.3477636    .1892644
                 |
          timeus |   .0117946   .0060435     1.95   0.052    -.0001204    .0237095
         agepool |   .0023848   .0052753     0.45   0.652    -.0080157    .0127852
        spanhome |   .0294063    .060654     0.48   0.628    -.0901759    .1489885
      schoolpool |   .0213316   .0162375     1.31   0.190    -.0106814    .0533446
      famincpool |   -.029826   .0413732    -0.72   0.472    -.1113952    .0517432
          female |  -.1979064    .120231    -1.65   0.101    -.4349474    .0391347
         ownhome |  -.0771405    .150268    -0.51   0.608    -.3734008    .2191198
       religpool |  -.0091081   .0458709    -0.20   0.843    -.0995447    .0813286
             mex |   .0635839   .1225955     0.52   0.605    -.1781189    .3052866
difstatelaw_2017 |  -.0060637   .0173543    -0.35   0.727    -.0402785     .028151
           _cons |   1.411807   .4982571     2.83   0.005     .4294702    2.394144
----------------------------------------------------------------------------------

. reg nosay3 nosay1 demidord2    i.civicstatus time age span school faminc female ownhome relig
>  mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 202.2728924751282)

Linear regression                               Number of obs     =        235
                                                F(14, 220)        =       3.58
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1897
                                                Root MSE          =     1.4122

----------------------------------------------------------------------------------
                 |               Robust
          nosay3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          nosay1 |     .28947   .0738556     3.92   0.000     .1439151     .435025
       demidord2 |   .1321484   .1083853     1.22   0.224    -.0814579    .3457547
                 |
     civicstatus |
              1  |  -.2456551   .3150643    -0.78   0.436    -.8665855    .3752754
              2  |  -.6536993   .3643892    -1.79   0.074     -1.37184    .0644411
                 |
          timeus |     .00914   .0114031     0.80   0.424    -.0133333    .0316133
         agepool |  -.0021878   .0108222    -0.20   0.840    -.0235163    .0191406
        spanhome |  -.0538017   .1452499    -0.37   0.711     -.340061    .2324577
      schoolpool |    .000017   .0385998     0.00   1.000    -.0760556    .0760896
      famincpool |  -.2042166   .0997964    -2.05   0.042    -.4008959   -.0075372
          female |  -.0155528    .214178    -0.07   0.942     -.437656    .4065504
         ownhome |   .3225044    .235797     1.37   0.173    -.1422057    .7872145
       religpool |  -.1266168   .0776958    -1.63   0.105    -.2797402    .0265065
             mex |  -.1074438   .2506144    -0.43   0.669    -.6013561    .3864685
difstatelaw_2017 |   .0359629   .0359888     1.00   0.319     -.034964    .1068899
           _cons |   3.312844   .9799389     3.38   0.001     1.381575    5.244113
----------------------------------------------------------------------------------

. reg publicoffnocare3 publicoffnocare1   demidord2  i.civicstatus time age span school faminc 
> female ownhome relig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 202.6928313076496)

Linear regression                               Number of obs     =        235
                                                F(14, 220)        =       1.57
                                                Prob > F          =     0.0903
                                                R-squared         =     0.1068
                                                Root MSE          =      1.276

----------------------------------------------------------------------------------
                 |               Robust
publicoffnocare3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
publicoffnocare1 |   .1933467   .0717086     2.70   0.008     .0520231    .3346704
       demidord2 |   .1069876   .0941092     1.14   0.257    -.0784834    .2924587
                 |
     civicstatus |
              1  |  -.2553174   .2709571    -0.94   0.347    -.7893211    .2786864
              2  |  -.2856298   .2635328    -1.08   0.280    -.8050018    .2337422
                 |
          timeus |  -.0032263   .0105622    -0.31   0.760    -.0240423    .0175897
         agepool |   .0081375   .0095268     0.85   0.394     -.010638     .026913
        spanhome |  -.0804991   .1008179    -0.80   0.425    -.2791917    .1181934
      schoolpool |   .0317397     .03224     0.98   0.326    -.0317991    .0952786
      famincpool |  -.0647442   .0816604    -0.79   0.429     -.225681    .0961925
          female |    .116627   .1960015     0.60   0.552    -.2696539    .5029079
         ownhome |   .3721177   .2406856     1.55   0.124    -.1022267    .8464622
       religpool |   -.198747    .070132    -2.83   0.005    -.3369635   -.0605304
             mex |   .2647632   .2469149     1.07   0.285     -.221858    .7513844
difstatelaw_2017 |   .0117751   .0342769     0.34   0.732    -.0557779    .0793281
           _cons |   3.056416   .7605281     4.02   0.000     1.557563    4.555269
----------------------------------------------------------------------------------

. reg trustamer3 trustamer1 demidord2  i.civicstatus time age span school faminc female ownhome
>  relig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;
(sum of wgt is 201.6103475987911)

Linear regression                               Number of obs     =        233
                                                F(14, 218)        =       6.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3018
                                                Root MSE          =     .86683

----------------------------------------------------------------------------------
                 |               Robust
      trustamer3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      trustamer1 |   .3891522   .0748383     5.20   0.000     .2416529    .5366515
       demidord2 |   .0449735   .0609248     0.74   0.461    -.0751036    .1650506
                 |
     civicstatus |
              1  |   .2546875   .2244795     1.13   0.258    -.1877405    .6971155
              2  |   .1991906   .2337185     0.85   0.395    -.2614465    .6598277
                 |
          timeus |  -.0128701   .0071532    -1.80   0.073    -.0269684    .0012281
         agepool |    .014302   .0067927     2.11   0.036     .0009143    .0276897
        spanhome |  -.1569655   .0890349    -1.76   0.079    -.3324448    .0185138
      schoolpool |   .0380586   .0237685     1.60   0.111    -.0087869    .0849042
      famincpool |  -.0362476   .0589951    -0.61   0.540    -.1525214    .0800261
          female |  -.2971362   .1486257    -2.00   0.047    -.5900635   -.0042089
         ownhome |   .2016824   .1670674     1.21   0.229    -.1275918    .5309565
       religpool |  -.0757979   .0468395    -1.62   0.107    -.1681141    .0165182
             mex |  -.0890062   .1706255    -0.52   0.602     -.425293    .2472806
difstatelaw_2017 |   .0018108   .0233512     0.08   0.938    -.0442122    .0478337
           _cons |   1.879669   .5909022     3.18   0.002     .7150562    3.044281
----------------------------------------------------------------------------------

. ologit return3 return1 demidord2    i.civicstatus time age span school faminc female ownhome 
> relig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;

Iteration 0:   log pseudolikelihood = -129.16625  
Iteration 1:   log pseudolikelihood = -95.085421  
Iteration 2:   log pseudolikelihood = -90.624683  
Iteration 3:   log pseudolikelihood = -90.284446  
Iteration 4:   log pseudolikelihood = -90.284045  
Iteration 5:   log pseudolikelihood = -90.284045  

Ordered logistic regression                     Number of obs     =        242
                                                Wald chi2(14)     =      55.40
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -90.284045               Pseudo R2         =     0.3010

----------------------------------------------------------------------------------
                 |               Robust
         return3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         return1 |    1.67543   .3130933     5.35   0.000     1.061779    2.289082
       demidord2 |   .2016591   .2179838     0.93   0.355    -.2255814    .6288996
                 |
     civicstatus |
              1  |    .082695   .6651791     0.12   0.901    -1.221032    1.386422
              2  |  -.8608427   .7088021    -1.21   0.225    -2.250069     .528384
                 |
          timeus |  -.0711715   .0267807    -2.66   0.008    -.1236608   -.0186822
         agepool |  -.0185784   .0192821    -0.96   0.335    -.0563706    .0192138
        spanhome |  -.0625947   .3445926    -0.18   0.856    -.7379839    .6127944
      schoolpool |  -.0063172   .0777112    -0.08   0.935    -.1586283     .145994
      famincpool |   .0325046   .1733406     0.19   0.851    -.3072367    .3722459
          female |  -.9304939    .552101    -1.69   0.092    -2.012592    .1516041
         ownhome |   .1992694   .6348232     0.31   0.754    -1.044961      1.4435
       religpool |   .0111792   .1757804     0.06   0.949    -.3333441    .3557025
             mex |    .124329   .5635559     0.22   0.825    -.9802202    1.228878
difstatelaw_2017 |   .0237555   .1122944     0.21   0.832    -.1963374    .2438485
-----------------+----------------------------------------------------------------
           /cut1 |    .816962   2.267753                     -3.627753    5.261677
           /cut2 |   1.048661   2.270728                     -3.401884    5.499207
----------------------------------------------------------------------------------

. logit immrally3 rally1 demidord2   i.civicstatus time age span school faminc female ownhome r
> elig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;

Iteration 0:   log pseudolikelihood = -99.639712  
Iteration 1:   log pseudolikelihood = -79.459301  
Iteration 2:   log pseudolikelihood = -75.945209  
Iteration 3:   log pseudolikelihood = -75.863277  
Iteration 4:   log pseudolikelihood = -75.863212  
Iteration 5:   log pseudolikelihood = -75.863212  

Logistic regression                             Number of obs     =        241
                                                Wald chi2(14)     =      24.86
                                                Prob > chi2       =     0.0360
Log pseudolikelihood = -75.863212               Pseudo R2         =     0.2386

----------------------------------------------------------------------------------
                 |               Robust
       immrally3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
          rally1 |    .752525   .7579237     0.99   0.321    -.7329781    2.238028
       demidord2 |   .3263943   .2435245     1.34   0.180     -.150905    .8036937
                 |
     civicstatus |
              1  |   .1957808   .7561629     0.26   0.796    -1.286271    1.677833
              2  |   .0883457   .7782188     0.11   0.910    -1.436935    1.613626
                 |
          timeus |   .0011836   .0342049     0.03   0.972    -.0658567    .0682239
         agepool |   -.065156   .0316272    -2.06   0.039    -.1271441   -.0031679
        spanhome |   .1253659   .3092008     0.41   0.685    -.4806565    .7313884
      schoolpool |   .1284153    .069442     1.85   0.064    -.0076885    .2645191
      famincpool |  -.1093297   .1888157    -0.58   0.563    -.4794018    .2607424
          female |     .01045   .5410714     0.02   0.985    -1.050031    1.070931
         ownhome |  -.0521934   .6378655    -0.08   0.935    -1.302387       1.198
       religpool |   .1825089   .2055409     0.89   0.375    -.2203439    .5853617
             mex |   1.690677   .9038187     1.87   0.061     -.080775    3.462129
difstatelaw_2017 |   .0958815   .0903937     1.06   0.289     -.081287    .2730499
           _cons |  -3.010804   1.957345    -1.54   0.124     -6.84713    .8255219
----------------------------------------------------------------------------------

. ologit partic3 partic1 demidord2   i.civicstatus time age span school faminc female ownhome r
> elig mex difstatelaw_2017 [pweight=weight] if _mi_m == 0;

Iteration 0:   log pseudolikelihood =  -206.0417  
Iteration 1:   log pseudolikelihood = -156.15948  
Iteration 2:   log pseudolikelihood = -146.71614  
Iteration 3:   log pseudolikelihood = -146.26063  
Iteration 4:   log pseudolikelihood = -146.25908  
Iteration 5:   log pseudolikelihood = -146.25908  

Ordered logistic regression                     Number of obs     =        240
                                                Wald chi2(14)     =      94.87
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -146.25908               Pseudo R2         =     0.2901

----------------------------------------------------------------------------------
                 |               Robust
         partic3 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
         partic1 |   1.707178   .2666922     6.40   0.000     1.184471    2.229886
       demidord2 |  -.1252099   .1599315    -0.78   0.434    -.4386699    .1882501
                 |
     civicstatus |
              1  |  -.3489743   .5073719    -0.69   0.492    -1.343405    .6454563
              2  |   -.201522   .5443459    -0.37   0.711     -1.26842    .8653762
                 |
          timeus |   .0083984    .022556     0.37   0.710    -.0358106    .0526073
         agepool |   .0039654    .022415     0.18   0.860    -.0399671    .0478979
        spanhome |  -.1005279   .2176051    -0.46   0.644     -.527026    .3259702
      schoolpool |   .1622294   .0632729     2.56   0.010     .0382168     .286242
      famincpool |   .2194629   .1591022     1.38   0.168    -.0923717    .5312975
          female |   .4672905   .3543618     1.32   0.187    -.2272459    1.161827
         ownhome |  -.3152232   .4665347    -0.68   0.499    -1.229614    .5991681
       religpool |  -.0372747   .1403686    -0.27   0.791    -.3123921    .2378428
             mex |   .6682718   .4808844     1.39   0.165    -.2742443    1.610788
difstatelaw_2017 |   .1362136   .0855854     1.59   0.111    -.0315308    .3039579
-----------------+----------------------------------------------------------------
           /cut1 |   3.866787   1.781568                       .374977    7.358596
           /cut2 |   5.872003   1.741835                       2.45807    9.285936
           /cut3 |    7.48829   1.798463                      3.963368    11.01321
----------------------------------------------------------------------------------

. 
end of do-file

. exit,clear
